Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code

[unable to retrieve full-text content]Also: Cartoon: 5 Machine Learning Projects You Should Not Overlook, June 2018; FIFA World Cup Football and Machine Learning; The What, Where and How of Data for Data Science; Data Lake the evolution of data processing
Original Post: Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code

Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline

[unable to retrieve full-text content]Also: Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM; On the contribution of neural networks and word embeddings in NLP; Improving the Performance of a Neural Network; Python eats away at R
Original Post: Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline

Top Stories, May 21-27: Python eats away at R: Top Software for Analytics & Data Science; ETL vs ELT: Considering the Advancement of Data Warehouses

[unable to retrieve full-text content]Also: Top 20 R Libraries for Data Science in 2018; Frameworks for Approaching the Machine Learning Process; Machine Learning Breaking Bad – addressing Bias and Fairness in ML models
Original Post: Top Stories, May 21-27: Python eats away at R: Top Software for Analytics & Data Science; ETL vs ELT: Considering the Advancement of Data Warehouses

Top Stories, May 14-20: Data Science vs Machine Learning vs Data Analytics vs Business Analytics; Implement a YOLO Object Detector from Scratch in PyTorch

[unable to retrieve full-text content]Also: An Introduction to Deep Learning for Tabular Data; 9 Must-have skills you need to become a Data Scientist, updated; GANs in TensorFlow from the Command Line: Creating Your First GitHub Project; Complete Guide to Build ConvNet HTTP-Based Application
Original Post: Top Stories, May 14-20: Data Science vs Machine Learning vs Data Analytics vs Business Analytics; Implement a YOLO Object Detector from Scratch in PyTorch

Top Stories, May 7-13: 2018 KDnuggets Analytics, Data Mining, Data Science, Machine Learning Software Poll; WTF is a Tensor?!?

[unable to retrieve full-text content]5 Reasons “Logistic Regression” should be the first thing you learn when becoming a Data Scientist; PyTorch Tensor Basics; Top 7 Data Science Use Cases in Finance; Detecting Breast Cancer with Deep Learning; To SQL or not To SQL: that is the question!
Original Post: Top Stories, May 7-13: 2018 KDnuggets Analytics, Data Mining, Data Science, Machine Learning Software Poll; WTF is a Tensor?!?

Top April Stories: Why so many data scientists are leaving their jobs? 7 Books to Grasp Math Foundations of Data Science and Machine Learning

[unable to retrieve full-text content]Also: Key Algorithms and Statistical Models for Aspiring Data Scientists; Top 20 Deep Learning Papers, 2018 Edition.
Original Post: Top April Stories: Why so many data scientists are leaving their jobs? 7 Books to Grasp Math Foundations of Data Science and Machine Learning

Top Stories, Apr 30 – May 6: Boost your data science skills. Learn linear algebra.; Operational Machine Learning: Seven Considerations for Successful MLOps

[unable to retrieve full-text content]Also: 50+ Useful Machine Learning & Prediction APIs, 2018 Edition; 8 Useful Advices for Aspiring Data Scientists; Apache Spark : Python vs. Scala; 8 Useful Advices for Aspiring Data Scientists; Data Science vs Machine Learning vs Data Analytics vs Business Analytics
Original Post: Top Stories, Apr 30 – May 6: Boost your data science skills. Learn linear algebra.; Operational Machine Learning: Seven Considerations for Successful MLOps

Top Stories, Apr 23-29: Blockchain Explained in 7 Python Functions; Building Convolutional Neural Network using NumPy from Scratch

[unable to retrieve full-text content]Also: Choosing the Right Metric for Evaluating Machine Learning Models – Part 1; Top 16 Open Source Deep Learning Libraries and Platforms; Data Science Interview Guide; Why so many data scientists are leaving their jobs
Original Post: Top Stories, Apr 23-29: Blockchain Explained in 7 Python Functions; Building Convolutional Neural Network using NumPy from Scratch

Top Stories, Jan 15-21: The Value of Semi-Supervised Machine Learning; A Day in the Life of an AI Developer

[unable to retrieve full-text content]Also: Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2: Integrating Grid Search; Generative Adversarial Networks, an overview; Learning Curves for Machine Learning; Top 10 TED Talks for Data Scientists and Machine Learning Engineers
Original Post: Top Stories, Jan 15-21: The Value of Semi-Supervised Machine Learning; A Day in the Life of an AI Developer

Top Stories, Jan 8-14: Top 10 TED Talks for Data Scientists and Machine Learning Engineers; The Art of Learning Data Science

[unable to retrieve full-text content]Also: How Docker Can Help You Become A More Effective Data Scientist; Regularization in Machine Learning; Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions; Quantum Machine Learning: An Overview
Original Post: Top Stories, Jan 8-14: Top 10 TED Talks for Data Scientists and Machine Learning Engineers; The Art of Learning Data Science